Technical Data Analyst

At Mindera, a Senior Technical Data Analyst is responsible for collaborating with various stakeholders to ensure successful project outcomes. This includes gathering and documenting requirements, identifying dependencies and blockers, and fostering strong working relationships across teams. The ideal candidate will focus on creating a seamless delivery pipeline to help our business thrive.

To be considered for the Senior Technical Data Analyst position at Mindera, candidates typically need 3-5 years of experience in relevant fields such as business systems analysis or technical data analysis, particularly within the tech, gaming, or entertainment industries. Proficiency in SQL, knowledge of ETL tools, experience with data modeling, and familiarity with cloud data platforms are also essential qualifications for this role.

A Senior Technical Data Analyst at Mindera should be well-versed in a variety of tools and technologies. Key competencies include knowledge of SQL and experience with ETL frameworks like dbt or Talend. Familiarity with cloud platforms like AWS and data warehousing solutions such as Snowflake or Google BigQuery is critical. Basic understanding of BI tools is an added advantage, although not the primary responsibility.

Collaboration is at the heart of what we do at Mindera as a Senior Technical Data Analyst. You will bring together insights from various stakeholders, including product managers, technical leads, and business advocates, to ensure everyone is aligned on project goals. This teamwork not only enhances communication but also leads to better outcomes and innovative solutions in a politically-free environment.

The culture at Mindera for a Senior Technical Data Analyst is all about freedom and responsibility. We emphasize lean operations, self-organization, and collaboration. You'll have the chance to take risks, make impactful decisions, and engage with a talented team that values commitment and empathy. With flexible working hours and fun team activities, you will feel right at home!

When discussing your experience with SQL, focus on specific projects where you've utilized it to manipulate and analyze data. Mention the types of queries you've written, how you've optimized performance, and how your skills helped drive project outcomes.

It’s important to show that you prioritize active listening and open communication when gathering requirements. Discuss your methods for ensuring clarity in requirements and how you maintain alignment with stakeholders throughout the project lifecycle.

Discuss the ETL tools you’re familiar with, like Talend or Apache Airflow, and describe a scenario where you successfully transformed data. Highlight your understanding of the ETL process and any best practices you follow to ensure data quality and integrity.

In this case, it’s best to demonstrate your conflict resolution skills. Talk about a specific example where you addressed conflicting priorities and the steps you took to facilitate open dialogue and find a mutually agreeable solution.

Elaborate on your knowledge of concepts such as dimensional modeling, star schemas, and normalization. Provide examples of projects where you implemented data models and the impact they had on analytics and reporting.

Share a specific challenge related to data analysis or collection and explain the steps you took to address it. Emphasizing your analytical thinking and problem-solving capabilities will demonstrate your expertise as a Senior Technical Data Analyst.

State that you believe in a meticulous approach to documentation, which includes regular revisions, checks with stakeholders, and creating templates for consistency. Highlight how clear documentation supports successful project delivery.

While it’s not a primary responsibility, you can mention your basic understanding of tools like Tableau or Power BI. Discuss any instances where you’ve used these tools to visually present data insights and how they aided in making informed decisions.

Address your time management skills and your adaptability to different working hours as a Senior Technical Data Analyst. Share how you schedule meetings efficiently and use collaborative tools to ensure all team members are involved.

Highlight your interpersonal skills by discussing how you initiate conversations, engage in regular check-ins, and show genuine interest in others. This will demonstrate your ability to create a collaborative environment vital for successful projects.